On-line print-defect detecting in an incremental subspace learning framework

Purpose - The purpose of this paper is to propose a novel on-line print-defect detecting approach. Design/methodology/approach - The proposed method uses incremental principal component analysis (IPCA) to model a variety pattern with respect to the detected image itself. Findings - The algorithm is constructed and deployed to a real-time detecting print-defect system, and the test results show that the system reduces false alarms dramatically. Originality/value - The paper describes groundbreaking work which, for the first time in the printing industry, uses IPCA in relation to print-defect detecting.